(* ::Package:: *) Needs["ErrorBarPlots`"] (* ::Section:: *) (*Data import*) gsraw=Import[NotebookDirectory[]<>"data/graphdata_ccm_initialtris.m"]; (* gsraw=SortBy[gsraw,{#[[1,1]]&,#[[1,2]]&}]; (* Sort by n and then by tau. The {} forces a *stable* sort because otherwise Mathematica sorts also on triangle count and other things. *) *) gdata=GatherBy[gsraw,{#[[1,2]]&,#[[1,1]]&}]; (* Data format: *) (* gdata[[ tau index, n index, run index , datatype index ]] *) (* datatype index: 1: {n,tau} 2: avgtriangles when mixed 3: {GCM1 starting triangles average, GCM1 number of successes} <-- CCMu: get new highest degree vertex every time 4: {GCM2 starting triangles average, GCM2 number of successes} <-- CCMb: finish vertex completely *) nlabels=Map["n = "<>ToString[#]&,gdata[[1,All,1,1,1]]]; taulabels=Map["\[Tau] = "<>ToString[#]&,gdata[[All,1,1,1,2]]]; (* ::Section:: *) (*Greedy configuration model*) (* ::Subsection:: *) (*Distribution of initial #triangles for GCM1,GCM2,EG compared to average #triangles.*) (* Consider all runs *) getIt[x_,avg_]:=If[x[[2]]>=5, x[[1]]/avg,0] getAverage[run_]:=Module[{avg}, avg=run[[2]]; If[avg>0, { getIt[run[[3]],avg], getIt[run[[4]],avg] } , {3,3}] ] getTotalStats[runs_]:=Transpose[Map[getAverage,runs]]; totalStats=Map[getTotalStats,gdata,{2}]; (* Yellow: CCMu (take new highest everytime *) (* Blue: CCMb (finish highest first, more similar to EG) *) histogramsTotal=Map[Histogram[#,{0.05},PlotRange->{{-0.5,2},Automatic},ImageSize->300,AxesOrigin->{0,0}]&,totalStats,{2}]; TableForm[histogramsTotal,TableHeadings->{taulabels,nlabels}] (* ::Subsubsection:: *) (*Exporting plots*) makeHistogram[datasets_,n_,tau_]:=Histogram[datasets,{0.05},"Probability", PlotRange->{{0,1.3},{0,0.5}}, ImageSize->300,AxesOrigin->{0,0}, AspectRatio->3/5, Frame->True, FrameLabel->{"fraction of average #triangles at CCM start","frequency"}, ChartLegends->Placed[{"CCMu avg = "<>ToString[NumberForm[N[Mean[datasets[[1]]]],2]],"CCMb avg = "<>ToString[NumberForm[N[Mean[datasets[[2]]]],2]]},Center], (*LabelingFunction->(Placed[NumberForm[#,{2,3}],Above]&),*) (*LabelingFunction\[Rule](Placed[If[#2[[2]]\[Equal]1,NumberForm[#1,{2,3}],""],Above]&),*) PlotLabel->n<>", "<>tau]; histogramsTotal=MapIndexed[makeHistogram[#1,nlabels[[#2[[2]]]],taulabels[[#2[[1]]]]]&,totalStats,{2}]; tauIndices={1,5,9}; nIndices={1}; (* TableForm[histogramsTotal[[tauIndices,nIndices]],TableHeadings->{taulabels[[tauIndices]],nlabels[[nIndices]]}]*) plotgrid1=GraphicsGrid[histogramsTotal[[tauIndices,nIndices]],ImageSize->350,ItemAspectRatio->3/5] Export[NotebookDirectory[]<>"plots/ccm_initialtris.pdf",plotgrid1] (* ::Subsection:: *) (*GCM1 vs GCM2 success rates*) successrates=Map[{#[[3,2]]/100,#[[4,2]]/100}&,gdata,{3}]; successrates=Map[Transpose,successrates,{2}]; successratesDelta=Map[#[[3,2]]-#[[4,2]]&,gdata,{3}]; successratesAvg=Map[{Mean[#[[1]]],Mean[#[[2]]]}&,successrates,{2}]; rateHistograms=Map[Histogram[#,{0.1},"Probability",PlotRange->{{0,1},Automatic}]&,successrates,{2}]; rateDeltaHistograms=Map[Histogram[#,{10},"Probability",PlotRange->{{-100,100},Automatic}]&,successratesDelta,{2}]; TableForm[rateHistograms,TableHeadings->{taulabels,nlabels}] TableForm[rateDeltaHistograms,TableHeadings->{taulabels,nlabels}] (*TableForm[Transpose[rateHistograms],TableHeadings->{nlabels,taulabels}]*) (* For export *) makeHistogram2[datasets_,label_]:=Histogram[datasets,{0.1},"Probability", PlotRange->{{0,1},{0,1}}, ImageSize->300,AxesOrigin->{0,0}, Frame->True, FrameLabel->{"successrate of CCM construction","frequency"}, ChartLegends->Placed[{"CCMu avg = "<>ToString[NumberForm[N[Mean[datasets[[1]]]],2]],"CCMb avg = "<>ToString[NumberForm[N[Mean[datasets[[2]]]],2]]},Center],(*LabelingFunction->(Placed[NumberForm[#,{2,3}],Above]&),*) (*LabelingFunction\[Rule](Placed[If[#2[[2]]\[Equal]1,NumberForm[#1,{2,3}],""],Above]&),*) PlotLabel->label]; plot1=makeHistogram2[successrates[[1,1]],"n = 1000, \[Tau] = 2.1"] plot2=makeHistogram2[successrates[[5,1]],"n = 1000, \[Tau] = 2.5"] plot3=makeHistogram2[successrates[[9,1]],"n = 1000, \[Tau] = 2.9"] (* columnplot1=GraphicsColumn[{plot1,plot2,plot3}] *) Export[NotebookDirectory[]<>"plots/ccm_construction_successrate.pdf",columnplot1] Export[NotebookDirectory[]<>"plots/ccm_construction_successrate1.pdf",plot1] Export[NotebookDirectory[]<>"plots/ccm_construction_successrate5.pdf",plot2] Export[NotebookDirectory[]<>"plots/ccm_construction_successrate9.pdf",plot3]